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Modeling of neural image compression using GA and BP: a comparative approach
International Journal of Advanced Computer Science and Applications
It is well known that the classic image compression techniques such as JPEG and MPEG have serious limitations at high compression rate; the decompressed image gets really fuzzy or indistinguishable. To overcome problems associated with conventional methods, artificial neural networks based method can be used. Genetic algorithm is a very powerful method for solving real life problems and this has been proven by applying to number of different applications. There is lots of interest to involvedoi:10.14569/specialissue.2011.010104 fatcat:i7cosnhlgzdgxiodmb3eywlvhq